Instructions to use Hippotes/LTX-2.3-quants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hippotes/LTX-2.3-quants with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hippotes/LTX-2.3-quants", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dda9096da7165b1cd00af3ec604fc148294a426bc09f4419eeaf77a461163b1e
- Size of remote file:
- 27.6 GB
- SHA256:
- a1a3eef45463a37ba2aef1bce8beef75874498b7c1d1f58cd9e7685e1c9c31ba
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.